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Poster
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Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai Vy Nguyen · Fabrice Gamboa · Reda CHHAIBI · Sixin Zhang · Serge Gratton · Thierry Giaccone
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Poster
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Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
Zifan Wang · Yi Shen · Michael Zavlanos · Karl H. Johansson
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Poster
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Wed 16:30
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Estimating Epistemic and Aleatoric Uncertainty with a Single Model
Matthew Chan · Maria Molina · Chris Metzler
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Poster
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Fri 11:00
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Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki · Atsushi Miyauchi · Francesco Bonchi · Wei Chen
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Poster
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Thu 16:30
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Disentangling Linear Quadratic Control with Untrusted ML Predictions
Tongxin Li · Hao Liu · Yisong Yue
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Poster
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Wed 11:00
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The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
Dongyan Lucy Huo · Yixuan Zhang · Yudong Chen · Qiaomin Xie
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Poster
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Wed 11:00
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Linear Uncertainty Quantification of Graphical Model Inference
Chenghua Guo · Han Yu · Jiaxin Liu · Chao Chen · Qi Li · Sihong Xie · Xi Zhang
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Poster
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Wed 11:00
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Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian
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Poster
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Thu 16:30
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Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Elias Nehme · Rotem Mulayoff · Tomer Michaeli
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Poster
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Fri 16:30
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Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta · Jelena Diakonikolas · Zaid Harchaoui
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Poster
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Wed 16:30
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Decision-Focused Learning with Directional Gradients
Michael Huang · Vishal Gupta
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Poster
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Thu 11:00
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Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
Ruiqi Li · Yiu-ming Cheung
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